Evidence map›Paper›PMID 38505626›Full record

ReviewBiophysics reviews2020

Dielectrophoresis as a tool for electrophysiological characterization of stem cells.

Anthony T Giduthuri, Sophia K Theodossiou, Nathan R Schiele, Soumya K Srivastava

Abstract readReview
In one paragraph

Review in Biophysics reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Dielectrophoretic Profiling ofACS measurement science au · 2025
    Article
  4. Article
  5. Article
  6. Article
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  8. Review
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  10. Review
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  12. Welcome toBiophysics reviews · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anthony T GiduthuriDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, Idaho 83844, USA.
Sophia K TheodossiouDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, Idaho 83844, USA.
Nathan R SchieleDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, Idaho 83844, USA.ORCID https://orcid.org/0000-0001-7302-1695
Soumya K SrivastavaDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, Idaho 83844, USA.ORCID https://orcid.org/0000-0001-5003-7993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dielectrophoresis (DEP), a nonlinear electrokinetic technique caused by Maxwell-Wagner interfacial polarization of neutral particles in an electrolyte solution, is a powerful cell manipulation method used widely for various applications such as enrichment, trapping, and sorting of heterogeneous cell populations. While conventional cell characterization and sorting methods require tagging or labeling of cells, DEP has the potential to manipulate cells in a label-free way. Due to its unique ability to characterize and sort cells without the need of labeling, there is renewed interest in using DEP for stem cell research and regenerative medicine. Stem cells have the potential to differentiate into various lineages, but achieving homogeneous cell phenotypes from an initially heterogeneous cell population is a challenge. Using DEP to efficiently and affordably identify, sort, and enrich either undifferentiated or differentiated stem cell populations in a label-free way would advance their potential uses for applications in tissue engineering and regenerative medicine. This review summarizes recent, significant research findings regarding the electrophysiological characterization of stem cells, with a focus on cellular dielectric properties, i.e., permittivity and conductivity, and on studies that have obtained these measurements using techniques that preserve cell viability, such as crossover frequency. Potential applications for DEP in regenerative medicine are also discussed. Overall, DEP is a promising technique and, when used to characterize, sort, and enrich stem cells, will advance stem cell-based regenerative therapies.

Identifiers

PMID38505626
PMCPMC10903368

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.